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Channel

杭州宫百万报告区

@hz_gbwbgq

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

5,604subscribers

-364 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004364261852
TypeChannel
Username@hz_gbwbgq
Created20 June 2026measured — dated from the channel’s first post
First recorded9 August 2026
Last confirmed live19 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/hz_gbwbgq

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 67% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

5,5975,9885,792.59 August 2026 — 5,968 subscribers10 August 2026 — 5,968 subscribers13 August 2026 — 5,976 subscribers16 August 2026 — 5,981 subscribers19 August 2026 — 5,987 subscribers23 August 2026 — 5,988 subscribers26 August 2026 — 5,979 subscribers29 August 2026 — 5,976 subscribers1 September 2026 — 5,962 subscribers6 September 2026 — 5,960 subscribers11 September 2026 — 5,597 subscribers14 September 2026 — 5,601 subscribers19 September 2026 — 5,604 subscribers5,6049 August 202619 September 2026
13 measurements spanning 40 days, net -364. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 5,538–6,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 01:005,604+3
14 Sept 2026, 13:015,601+4
11 Sept 2026, 06:355,597-363
6 Sept 2026, 06:595,960-2
1 Sept 2026, 14:125,962-14
29 Aug 2026, 13:175,976-3
26 Aug 2026, 06:575,979-9
23 Aug 2026, 07:035,988+1
19 Aug 2026, 10:575,987+6
16 Aug 2026, 21:285,981+5
13 Aug 2026, 12:455,976+8
10 Aug 2026, 05:145,968no change
9 Aug 2026, 20:165,968first reading

Engagement

18 posts held, back to 20 June 2026the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 3 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
150.0%
💔150.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 2 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 20 June 2026 to 8 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

8 Aug 2026, 12:38 UTC860 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 优评:8-10分; 良评:5-7分;差评:1-4分 【老师花名】:亦朵 【老师用户名】:@liduo567 【老师年龄】:22 【狼友昵称】:小猫 【狼友用户名】:@luaom 【验证时间】:8.8 【大概位置】:拱墅区与余杭交接 【人照评分】:9 【颜值评分】:9.5 【身材评分】:8.5 【服务评分】:10 【态度评分】:10 【环境评分】:10 【身高体重身材】:155cm 小bbw 【胸型大小颜色】:粉色 【住房类型】:回迁房 【事前事后有无清洗】:有 【开课排课是否准时宽松】:是 【流程小文】: 今天约的下午场,小区没门禁,直接遥控上楼。门虚掩着,推开就看见她坐在里面,一身小裙子,眼镜还挂着,见我进来立刻起身笑着扑过来抱住。 洗完澡的事特别有感觉。两个人挤在狭小的浴室里,水刚开她就凑过来亲,嘴唇软得不行,舌头一下下往里钻,几乎是贴着

4 Aug 2026, 11:01 UTC128 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 9 【老师花名】:#uu酱 【老师用户名】:@uujyalu 【老师年龄】:19 【狼友昵称】:隐身喵 【狼友用户名】:@mwclz06 【验证时间】:8月3日 【大概位置】:上城 【人照评分】:9分 【颜值评分】:9分 【身材评分】:9分 【服务评分】:10分 【态度评分】:10分 【环境评分】:9分 【身高体重身材】:身高154体重80 【胸型大小颜色】:圆润q弹粉嫩 【住房类型】:老小区安全 【事前事后有无清洗】:有清洗 【开课排课是否准时宽松】:排课准时 【流程小文】: 刚一进门放好东西,就被UU老师拉进房间,相比与其他老师的流程,UU会先脱光后调情一会,用翘臀轻轻摩擦我的肉棒,我顺势将手探进领口,揉捏起她的酥胸,UU也顺势开始呻吟起来,随后UU蹲下将手伸进我的内裤中,“哥哥都见过UU的小穴了,UU也想见一下哥哥的大肉棒呀

27 Jul 2026, 10:26 UTC121 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 10 【老师花名】:#小情人 【老师用户名】:@xiaotiantian2026 【老师年龄】:19 【狼友昵称】:海绵香蕉卷卷挞 【狼友用户名】:@jtmqd777 【验证时间】:7.27 【大概位置】:余杭 【人照评分】:10分 【颜值评分】:10分 【身材评分】:10分 【服务评分】:10分 【态度评分】:10分 【环境评分】:9分 【身高体重身材】:身高155体重76 【胸型大小颜色】:水滴粉奶 【住房类型】:小区 【事前事后有无清洗】:有清洗 【开课排课是否准时宽松】:排课准时 【流程小文】: 群里新上的一姐小情人看着非常符合我cj要求没想到抽上了, 见面看到老师第一眼,真不错,看着比照片还小的样子,果断交水费cj,脱完裤子一看,还真是人工小白虎呢,老师很热情带我一起鸳鸯浴。躺在床上老师也好好主动,非常积极的要给我服务,舔咪咪,舔

26 Jul 2026, 14:11 UTC153 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 10分 【老师花名】:大鹅 【老师用户名】:@zco8899 【老师年龄】:18 【狼友昵称】:隐身喵 【狼友用户名】:@mwclz04 【验证时间】:7.26 【大概位置】:拱墅 【人照评分】:9分 【颜值评分】:9分 【身材评分】:9分 【服务评分】:10分 【态度评分】:10分 【环境评分】:10分 【身高体重身材】:175 【胸型大小颜色】:b 【住房类型】:小区 【事前事后有无清洗】:有 【开课排课是否准时宽松】:宽松 【流程小文】: PS:这次得好好写过程了,不能再水了,我忏悔,阿门。 约了下午头课,杭州这鬼天气,上楼的时候已经满头大汗了,不过见面那一刻疲惫也都忘了,来的比较早所以还没化妆完 ,等她这段时间就当吹空调散散热,还帮她搞了一下浴室的喷头(这都不会用,呆头),话说女孩子化妆确实麻烦,不该给老师妆亲掉的,我忏悔

26 Jul 2026, 05:43 UTC125 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 优评:8-10分; 良评:5-7分;差评:1-4分 【老师花名】:大鹅 【老师用户名】:@zco8899 【老师年龄】:19 【狼友昵称】:今晚不睡觉 【狼友用户名】:@myfyyyyy 【验证时间】:7.25 【大概位置】:拱墅区桃源中学附近 【人照评分】:9 【颜值评分】:9 【身材评分】:10 【服务评分】:10 【态度评分】:10 【环境评分】:10 【身高体重身材】:9 【胸型大小颜色】:b,颜色粉嫩 【住房类型】:小区房 【事前事后有无清洗】:有 【开课排课是否准时宽松】:宽松 【流程小文】:提前一晚与老师约了头课,到达教室后,与老师在房间交流了一会才开始去洗漱,老师陪我一起去洗漱,很耐心的帮我清洗身体,身材没得说,长得1.7以上大高个。洗漱完后,就进入房间,我躺在床上,老师直接就是一个女上位坐我身上,接着开始亲,非常主动,老师的大蟒

24 Jul 2026, 12:47 UTC114 views1 reactionsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 9.5分 优评:8-10分; 良评:5-7分;差评:1-4分 【老师花名】:雪儿 【老师用户名】:@hwt11608 【老师年龄】:26左右 【狼友昵称】:Hamza Amr 【狼友用户名】:@sijiruchun123 【验证时间】:2026.7.24 【大概位置】:余杭区白洋港路 【人照评分】:8 【颜值评分】:8.5 【身材评分】:8.5 【服务评分】:9 【态度评分】:10 【环境评分】:9 【身高体重身材】:身高1米6左右,体重大概90吧 【胸型大小颜色】:介于ab之间,乳头很小颜色粉嫩 【住房类型】:小区住宅 【事前事后有无清洗】:事前事后有帮洗帮擦 【开课排课是否准时宽松】:宽松 流程小文:奔着雪儿的名头水娃去的,果然没让我失望,从来没见过这样的,今天可以说是开了眼了,原来女人高潮真的能喷,注意不是喷尿,这是真的高潮液体,没有异味类似

1

24 Jul 2026, 01:37 UTC97 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 优评:8-10分; 良评:5-7分;差评:1-4分 【老师花名】:Nana 【老师用户名】:@NNNYBY520 【老师年龄】:26左右 【狼友昵称】:goodgood第二世 【狼友用户名】:@goodgood_22 【验证时间】:7.23 【大概位置】:拱墅 【人照评分】:8 【颜值评分】:8 【身材评分】:8 【服务评分】:8.5 【态度评分】:9 【环境评分】:9 【身高体重身材】:165左右,85斤 【胸型大小颜色】:胸A,乳头偏褐色 【住房类型】:回迁房 【事前事后有无清洗】:有 【开课排课是否准时宽松】:宽松 【流程小文】:不少于200字 禁止ai及凑字数 瘦小嫩妹,皮肤白皙,有纹身,有肚脐钉,腿部纤细,人工白虎,腰部细枝,胸偏小。 有亲和力,东北嫩妹,能说会道聊家常,可以快速破冰。各种姿势满足,如小女友一般。 主动陪浴,帮忙擦身体,微

21 Jul 2026, 11:30 UTC≈2,530 viewsread 12 August 2026

写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分: 9.520分 剩下0.48下次给 【老师花名】:大鹅 【老师用户名】:@zco8899 【老师年龄】:18 【狼友昵称】:隐身喵 【狼友用户名】:@mwclz04 【验证时间】:7.20 【大概位置】:上城 【人照评分】:9.5 本人比视频好看 【颜值评分】:9.5 【身材评分】:9.5 【服务评分】:10 【态度评分】:10 【环境评分】:9 【身高体重身材】:175 110 细腰翘臀 【胸型大小颜色】:b 【住房类型】: loft 【事前事后有无清洗】:有 【开课排课是否准时宽松】:排课宽松 【流程小文】: 19号中奖后身体属实不适,于是相约20号晚,原本只以为是寻常一场工兵出击,内心平平淡淡,没存半点念想,开门一瞬,被老师颀长的身姿和清丽的容貌所吸引,同时一身蓬勃鲜活的少女气息扑面而来,心底不由得亮堂起来。

18 Jul 2026, 15:06 UTC113 viewsread 12 August 2026

杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分1-10分:10 【老师花名】:付玉 【老师用户名】:@fuyu1866 【老师年龄】:22 【狼友昵称】:rich 【狼友用户名】:@richgogogogog 【验证时间】:7.18 【大概位置】:拱宸桥 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:9 【身高体重身材】:9 【胸型大小颜色】:9 【住房类型】:小区房,安全性高 【事前事后有无清洗】:事前事后清洗,一次性浴巾都有 【开课排课是否准时宽松】:宽松 【流程小文】: 昨天晚上和老师约了今天下午两点的时间,今天就直奔老师科室,小区环境安全,门卫出可以叫保安开门直接进入。遥控上楼,开门看见付玉老师,穿着睡衣在客厅,画了精致的妆,先坐下聊了一会,了解我是老师的头课,提前画了两个小时的妆,心里莫名感动万分,交完水费,浴室冲洗,直接进入房间开始今

18 Jul 2026, 13:55 UTC93 viewsread 12 August 2026

工兵报告模板 写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 优评:9分; 【老师花名】:小丹 【老师用户名】:@G456ggl 【老师年龄】:18 【狼友昵称】:2019 【狼友用户名】:@wycj123 【验证时间】:7.18 【大概位置】:潮王路地铁 【人照评分】:8 【颜值评分】:7 【身材评分】:8 【服务评分】:8 【态度评分】:8 【环境评分】:7 【身高体重身材】:小只150+,微胖 【胸型大小颜色】:粉 b+ 【住房类型】:老小区 【事前事后有无清洗】:有 【开课排课是否准时宽松】:宽松无排队 【流程小文】:下午太阳不大,直接约好小丹,老师秒回复沟通无延迟。 课室地址距离地铁站100米左右,老小区,无罚站,秒进房间,进门就一条关着的狗,把我吓一跳。跟老师抽了一根烟,聊了会,期间主动递上冰矿泉水,沟通愉快。浴室很小只能一个人洗。匆匆洗好上床。 小丹挺主动,自己脱了衣服。拥

17 Jul 2026, 02:31 UTC90 viewsread 12 August 2026

评分1-10分:9 优评:8-10分; 良评:5-7分;差评:1-4分 【老师花名】:#亦朵 【老师用户名】:@liduo567 【老师年龄】:20 【狼友昵称】:rich 【狼友用户名】:@richgogogogog 【验证时间】:26.7.16 【大概位置】:西田城 【人照评分】:9 【颜值评分】:9 【身材评分】:8 【服务评分】:9 【态度评分】:9 【环境评分】:9 【身高体重身材】:8 【胸型大小颜色】:8 【住房类型】:小区房 【事前事后有无清洗】:都有 【开课排课是否准时宽松】:宽松 【流程小文】:群里亦朵竞拍预告好久了,看频道也是喜欢的小萝莉,一直等竞拍时间,但是等不到竞拍时间结束,非常想出击亦朵了,中午就先和老师约好下午五点的时间,到老师小区门口没有门禁,可以随时进出,小区房安全性也高。一进门就看到小小的老师穿短裙,脸也小啊,一下子兄弟就立起来了,脱衣服后准备洗浴,先摸了一把屁股,看着是翘翘的,手感不错。全程

16 Jul 2026, 11:21 UTC88 viewsread 12 August 2026

工兵报告模板 写报告-杭州宫百万 白虎嫩妹集中地 t.me/hz_baihu 评分8.8 【老师花名】:小舞 【老师用户名】:@aldhdbs 【老师年龄】:20左右 【狼友昵称】:宇智波 【狼友用户名】: 【验证时间】:7月16 【大概位置】:瓜山 【人照评分】:8.5 【颜值评分】:8.5 【身材评分】:9 【服务评分】:8.5 【态度评分】:9 【环境评分】:9 【身高体重身材】:小只马,很瘦很苗条 【胸型大小颜色】:b杯粉色 【住房类型】:小区 【事前事后有无清洗】:有 【开课排课是否准时宽松】:宽松 【流程小文】:约好时间,晚上前往,在瓜山小区长租房,见面人照一致轻度美颜磨皮,很小一只,脱衣后黄白皮,曲线突出,乳头粉粉的,床上三件套,很有耐心,口的时候会深情对望,然后一顿自助吃奶,69美滋滋,老师一阵一阵的哭腔呻吟,听的硬邦邦,戴上套后传教士进入比较紧致,真根没入后能感受到褶皱,扶着腿一阵攻击,小舞键入家境开始哼哼唧

Showing the 12 most recent of 18 posts we hold for @hz_gbwbgq. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 19 September 2026 — this entry's latest reading, not the date you are reading this.

“杭州宫百万报告区” (@hz_gbwbgq), 5,604 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/hz_gbwbgq.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.